Generative vs. Discriminative modeling under the lens of uncertainty
quantification

Generative vs. Discriminative modeling under the lens of uncertainty quantification

13 June 2024

Elouan Argouarc'h

François Desbouvries

Papers citing "Generative vs. Discriminative modeling under the lens of uncertainty quantification"

5 / 5 papers shown

Title
Is larger always better? Evaluating and prompting large language models for non-generative medical tasks Yinghao Zhu Junyi Gao Zixiang Wang Weibin Liao Xiaochen Zheng Lifang Liang Yasha Wang Chengwei Pan Ewen M. Harrison Liantao Ma ELM LM&MA AI4MH 51 2 0 26 Jul 2024
Tractable Function-Space Variational Inference in Bayesian Neural Networks Tim G. J. Rudner Zonghao Chen Yee Whye Teh Y. Gal 70 39 0 28 Dec 2023
Improved uncertainty quantification for neural networks with Bayesian last layer F. Fiedler S. Lucia UQCV BDL 40 12 0 21 Feb 2023
Benchmarking Simulation-Based Inference Jan-Matthis Lueckmann Jan Boelts David S. Greenberg P. J. Gonçalves Jakob H. Macke 96 184 0 12 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015